FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2944802617> ?p ?o ?g. }

• W2944802617 endingPage "4664" @default.
• W2944802617 startingPage "4655" @default.
• W2944802617 abstract "Identifying the travel modes people use on their daily commute, and the purpose of their trips, contributes to a better understanding of their mobility patterns. Therefore, the detection of the travel modes and the prediction of trips, purposes from smartphone sensors data emerged as two research problems in recent years. Most previous works have tackled these problems in separate studies, leading to an unnecessary redundancy with respect to the preprocessing steps taken. In this paper, we propose the use of a single preprocessing algorithm for both problems, using location traces obtained through smartphone sensors. The proposed technique applies multiple preprocessing steps to extract relevant features for both classification tasks and uses automated machine learning methods to identify the best classifiers and its hyperparameter configurations for each one of them. During evaluation experiments conducted with real smartphones data, a maximum accuracy of 88% for travel mode detection and 81% for trip purpose prediction were reached using our technique." @default.
• W2944802617 created "2019-05-16" @default.
• W2944802617 creator A5010653528 @default.
• W2944802617 creator A5055539077 @default.
• W2944802617 creator A5060933776 @default.
• W2944802617 creator A5078021208 @default.
• W2944802617 creator A5087835697 @default.
• W2944802617 date "2019-12-01" @default.
• W2944802617 modified "2023-10-04" @default.
• W2944802617 title "A Combined Solution for Real-Time Travel Mode Detection and Trip Purpose Prediction" @default.
• W2944802617 cites W1647221522 @default.
• W2944802617 cites W1678356000 @default.
• W2944802617 cites W1817561967 @default.
• W2944802617 cites W1969693647 @default.
• W2944802617 cites W1983447652 @default.
• W2944802617 cites W1986705681 @default.
• W2944802617 cites W1990653740 @default.
• W2944802617 cites W2033626294 @default.
• W2944802617 cites W2042661229 @default.
• W2944802617 cites W2056495296 @default.
• W2944802617 cites W2125826911 @default.
• W2944802617 cites W2158698691 @default.
• W2944802617 cites W2199661528 @default.
• W2944802617 cites W2201935820 @default.
• W2944802617 cites W2334294332 @default.
• W2944802617 cites W2417663649 @default.
• W2944802617 cites W2500941883 @default.
• W2944802617 cites W2518496153 @default.
• W2944802617 cites W2564326070 @default.
• W2944802617 cites W2583120682 @default.
• W2944802617 cites W2607030456 @default.
• W2944802617 cites W2609649633 @default.
• W2944802617 cites W2619999448 @default.
• W2944802617 cites W2736098799 @default.
• W2944802617 cites W2752228365 @default.
• W2944802617 cites W2756124448 @default.
• W2944802617 cites W2783429905 @default.
• W2944802617 cites W2787741622 @default.
• W2944802617 cites W28412257 @default.
• W2944802617 cites W3102476541 @default.
• W2944802617 cites W4206519735 @default.
• W2944802617 cites W4239510810 @default.
• W2944802617 doi "https://doi.org/10.1109/tits.2019.2905601" @default.
• W2944802617 hasPublicationYear "2019" @default.
• W2944802617 type Work @default.
• W2944802617 sameAs 2944802617 @default.
• W2944802617 citedByCount "15" @default.
• W2944802617 countsByYear W29448026172020 @default.
• W2944802617 countsByYear W29448026172021 @default.
• W2944802617 countsByYear W29448026172022 @default.
• W2944802617 countsByYear W29448026172023 @default.
• W2944802617 crossrefType "journal-article" @default.
• W2944802617 hasAuthorship W2944802617A5010653528 @default.
• W2944802617 hasAuthorship W2944802617A5055539077 @default.
• W2944802617 hasAuthorship W2944802617A5060933776 @default.
• W2944802617 hasAuthorship W2944802617A5078021208 @default.
• W2944802617 hasAuthorship W2944802617A5087835697 @default.
• W2944802617 hasConcept C10551718 @default.
• W2944802617 hasConcept C111919701 @default.
• W2944802617 hasConcept C119857082 @default.
• W2944802617 hasConcept C124101348 @default.
• W2944802617 hasConcept C152124472 @default.
• W2944802617 hasConcept C154945302 @default.
• W2944802617 hasConcept C157085824 @default.
• W2944802617 hasConcept C173608175 @default.
• W2944802617 hasConcept C34736171 @default.
• W2944802617 hasConcept C41008148 @default.
• W2944802617 hasConcept C48677424 @default.
• W2944802617 hasConcept C8642999 @default.
• W2944802617 hasConceptScore W2944802617C10551718 @default.
• W2944802617 hasConceptScore W2944802617C111919701 @default.
• W2944802617 hasConceptScore W2944802617C119857082 @default.
• W2944802617 hasConceptScore W2944802617C124101348 @default.
• W2944802617 hasConceptScore W2944802617C152124472 @default.
• W2944802617 hasConceptScore W2944802617C154945302 @default.
• W2944802617 hasConceptScore W2944802617C157085824 @default.
• W2944802617 hasConceptScore W2944802617C173608175 @default.
• W2944802617 hasConceptScore W2944802617C34736171 @default.
• W2944802617 hasConceptScore W2944802617C41008148 @default.
• W2944802617 hasConceptScore W2944802617C48677424 @default.
• W2944802617 hasConceptScore W2944802617C8642999 @default.
• W2944802617 hasFunder F4320321091 @default.
• W2944802617 hasIssue "12" @default.
• W2944802617 hasLocation W29448026171 @default.
• W2944802617 hasOpenAccess W2944802617 @default.
• W2944802617 hasPrimaryLocation W29448026171 @default.
• W2944802617 hasRelatedWork W2296226123 @default.
• W2944802617 hasRelatedWork W2801924399 @default.
• W2944802617 hasRelatedWork W2889453578 @default.
• W2944802617 hasRelatedWork W2897510300 @default.
• W2944802617 hasRelatedWork W4210794429 @default.
• W2944802617 hasRelatedWork W4210878990 @default.
• W2944802617 hasRelatedWork W4248881655 @default.
• W2944802617 hasRelatedWork W4287847633 @default.
• W2944802617 hasRelatedWork W4295309597 @default.
• W2944802617 hasRelatedWork W4318147815 @default.
• W2944802617 hasVolume "20" @default.
• W2944802617 isParatext "false" @default.

• next